None.
R access to the FOAAS (F... Off As A Service) web service is provided.
Analyzes and predicts from matrix population models (Caswell 2006) <doi:10.1002/9781118445112.stat07481>.
This package provides a web interface to compute transcriptional regulatory modules with rTRM
.
rGADEM is an efficient de novo motif discovery tool for large-scale genomic sequence data.
RJB is a bridge program that connects Ruby and Java via the Java Native Interface.
Truncated Newton function minimization with bounds constraints based on the Matlab'/'Octave codes of Stephen Nash.
This package provides a friendly, object oriented API for creating PowerPoint
slide decks in R.
Robust pairwise correlations based on estimates of scale, particularly on "FastQn
" one-step M-estimate.
Rcpp11 includes a header only C++11 library that facilitates integration between R and modern C++.
Parser generator for R using combinatory parsers. It is inspired by combinatory parsers developed in Haskell.
This package is used for the analysis of long-range chromatin interactions from 3C-seq assay.
Functionality to download stock prices, cryptocurrency data, and more from the Tiingo API <https://api.tiingo.com/>.
The t-walk is a general-purpose MCMC sampler for arbitrary continuous distributions that requires no tuning.
R implementation of SIDES-based subgroup search algorithms (Lipkovich et al. (2017) <doi:10.1002/sim.7064>).
Recursive display of names and paths of all the items nested within sublists of a list object.
Generate random user data from the Random User Generator API. For more information, see <https://randomuser.me/>.
Headers and some wrapper functions from the SeqAn
C++ library for ease of usage in R.
This package provides an iteration of the DEoptim
function. It performs global optimization by differential evolution.
R shiny app to perform data analysis and visualization for the Fully Automated Senescence Test (FAST) workflow.
The package contains all the data sets related to the book written by the maintainer of the package.
"Spaced Words Projection (SWeeP
)" is a method for representing biological sequences using vectors preserving inter-sequence comparability.
This package implements the QUBIC algorithm introduced by Li et al. for the qualitative biclustering with gene expression data.
This package provides fast machine learning algorithms including matrix factorization and divisive clustering for large sparse and dense matrices.